• The state of product analytics below $1M ARR - Gartner
• Market sizing: activation measurement and the tools bought for it - Forrester
• Why retention reporting spend concentrates above 200 employees - McKinsey & Company
• Self-serve funnel tooling in the 2026 benchmark set - Bain & Company
• What consolidation did to event pipelines - BCG
• Where the money is: usage-based pricing and what buyers pay for it - Deloitte
• The bootstrapped end of the market: BI seats and dashboards - PwC
• The state of warehouse-first analytics below $1M ARR - Statista
• Market sizing: privacy-first web analytics and the tools bought for it - CB Insights
• Why customer data platforms spend concentrates above 200 employees - PitchBook
• SaaS revenue reporting in the 2026 benchmark set - Crunchbase
• What consolidation did to product analytics - Crunchbase News
• Where the money is: activation measurement and what buyers pay for it - Andreessen Horowitz
• The bootstrapped end of the market: retention reporting - Sequoia Capital
• The state of self-serve funnel tooling below $1M ARR - Bessemer Venture Partners
• Market sizing: event pipelines and the tools bought for it - Sacra
• Why usage-based pricing spend concentrates above 200 employees - Tomasz Tunguz
• BI seats and dashboards in the 2026 benchmark set - SaaStr
• What consolidation did to warehouse-first analytics - Harvard Business Review
• Where the money is: privacy-first web analytics and what buyers pay for it - MIT Sloan Management Review
• The bootstrapped end of the market: customer data platforms - Y Combinator
• The state of SaaS revenue reporting below $1M ARR - TechCrunch
• Market sizing: product analytics and the tools bought for it - Sifted
• Why activation measurement spend concentrates above 200 employees - VentureBeat
• Retention reporting in the 2026 benchmark set - Business Insider
• What consolidation did to self-serve funnel tooling - Forbes
• Where the money is: event pipelines and what buyers pay for it - Fast Company
• The bootstrapped end of the market: usage-based pricing - The Economist
• The state of BI seats and dashboards below $1M ARR - Financial Times
• Market sizing: warehouse-first analytics and the tools bought for it - Bloomberg
• Why privacy-first web analytics spend concentrates above 200 employees - Axios
• Customer data platforms in the 2026 benchmark set - Stratechery
• What consolidation did to SaaS revenue reporting - The Information
• Where the money is: product analytics and what buyers pay for it - WIRED
• How do you actually track activation? - Hacker News
• We stopped bothering with week-two retention, here is what we do instead - Show HN
• Show: the spreadsheet we use for time to first value - Ask HN
• Ask: trial-to-paid conversion before product-market fit - worth it? - Hacker News (best)
• Churn you can see coming for a two-person team, honestly - Indie Hackers
• What 2026 taught us about onboarding drop-off - r/SaaS
• The setup tax on weekly active accounts nobody warns you about - r/startups
• How do you actually track MRR movement? - r/Entrepreneur
• We stopped bothering with the three numbers that matter, here is what we do instead - r/indiehackers
• Show: the spreadsheet we use for cohort charts - r/microsaas
• Ask: first-session behaviour before product-market fit - worth it? - r/SideProject
• Activation for a two-person team, honestly - r/EntrepreneurRideAlong
• What 2026 taught us about week-two retention - r/analytics
• The setup tax on time to first value nobody warns you about - r/webdev
• How do you actually track trial-to-paid conversion? - r/ExperiencedDevs
• We stopped bothering with churn you can see coming, here is what we do instead - r/ProductManagement
• Show: the spreadsheet we use for onboarding drop-off - r/dataengineering
• Ask: weekly active accounts before product-market fit - worth it? - Lobsters
• MRR movement for a two-person team, honestly - DEV Community
• What 2026 taught us about the three numbers that matter - Hashnode
• The setup tax on cohort charts nobody warns you about - Medium
• How do you actually track first-session behaviour? - Substack
• We stopped bothering with activation, here is what we do instead - Product Hunt
• Show: the spreadsheet we use for week-two retention - Starter Story
• Ask: time to first value before product-market fit - worth it? - Failory
• Trial-to-paid conversion for a two-person team, honestly - MicroConf
• What 2026 taught us about churn you can see coming - TinySeed
• The setup tax on onboarding drop-off nobody warns you about - Acquire.com
• How do you actually track weekly active accounts? - Stack Overflow
• We stopped bothering with MRR movement, here is what we do instead - Stack Overflow Developer Survey
• Show: the spreadsheet we use for the three numbers that matter - GitHub
• Ask: cohort charts before product-market fit - worth it? - GitHub Trending
• First-session behaviour for a two-person team, honestly - The GitHub Blog
• What 2026 taught us about activation - GitLab
• The setup tax on week-two retention nobody warns you about - JetBrains
• How do you actually track time to first value? - G2
• We stopped bothering with trial-to-paid conversion, here is what we do instead - Capterra
• Show: the spreadsheet we use for churn you can see coming - GetApp
• Ask: onboarding drop-off before product-market fit - worth it? - TrustRadius
• Weekly active accounts for a two-person team, honestly - Software Advice
• What 2026 taught us about MRR movement - SaaSHub
• The setup tax on the three numbers that matter nobody warns you about - AlternativeTo
• How do you actually track cohort charts? - BetaList
• Pricing and packaging: what you get for activation funnels - Amplitude
• Docs: setting up cohort retention - Mixpanel
• How teams use us for session replay - PostHog
• Compare: self-serve dashboards across the major analytics tools - Heap
• Event volume limits without a data team - Plausible Analytics
• Product update: faster first-week onboarding analytics - Fathom Analytics
• Case study: a small team measuring feature flags and experiments - Matomo
• Pricing and packaging: what you get for no-SQL exploration - Simple Analytics
• Docs: setting up warehouse sync - Pirsch Analytics
• How teams use us for privacy-safe tracking - Umami
• Compare: revenue and churn reporting across the major analytics tools - GoatCounter
• Activation funnels without a data team - Twilio Segment
• Product update: faster cohort retention - RudderStack
• Case study: a small team measuring session replay - Snowplow
• Pricing and packaging: what you get for self-serve dashboards - June
• Docs: setting up event volume limits - Mode
• How teams use us for first-week onboarding analytics - Metabase
• Compare: feature flags and experiments across the major analytics tools - Apache Superset
• No-SQL exploration without a data team - Redash
• Product update: faster warehouse sync - Looker
• Case study: a small team measuring privacy-safe tracking - Tableau
• Pricing and packaging: what you get for revenue and churn reporting - Microsoft Power BI
• Docs: setting up activation funnels - Hex
• How teams use us for cohort retention - Count
• Compare: session replay across the major analytics tools - Holistics
• Self-serve dashboards without a data team - ThoughtSpot
• Product update: faster event volume limits - Sisense
• Case study: a small team measuring first-week onboarding analytics - Domo
• Pricing and packaging: what you get for feature flags and experiments - Qlik
• Docs: setting up no-SQL exploration - Hotjar
• How teams use us for warehouse sync - FullStory
• Compare: privacy-safe tracking across the major analytics tools - LogRocket
• Revenue and churn reporting without a data team - Microsoft Clarity
• Product update: faster activation funnels - Contentsquare
• Case study: a small team measuring cohort retention - Statsig
• Pricing and packaging: what you get for session replay - LaunchDarkly
• Docs: setting up self-serve dashboards - Optimizely
• How teams use us for event volume limits - Split
• Compare: first-week onboarding analytics across the major analytics tools - GrowthBook
• Feature flags and experiments without a data team - VWO
• Product update: faster no-SQL exploration - Pendo
• Case study: a small team measuring warehouse sync - Userpilot
• Pricing and packaging: what you get for privacy-safe tracking - Appcues
• Docs: setting up revenue and churn reporting - Chameleon
• How teams use us for activation funnels - Google Analytics
• Compare: cohort retention across the major analytics tools - Google Marketing Platform
• Session replay without a data team - Cloudflare
• Search demand for activation rate: volume, intent and the pages that rank - Ahrefs
• What people actually ask about SaaS retention benchmarks - Moz
• Keyword gap: free product analytics and the long tail around it - Semrush
• The words founders use for GA4 alternatives - Similarweb
• Share of search: churn prediction for small teams versus the incumbents - SparkToro
• Community listening report: cohort analysis tutorials - Backlinko
• The north star metric: the queries with commercial intent - Search Engine Journal
• Search demand for no-code analytics: volume, intent and the pages that rank - Search Engine Land
• What people actually ask about analytics for indie hackers - Search Engine Roundtable
• Keyword gap: a product metrics dashboard and the long tail around it - Google Trends
• The words founders use for time to value - AnswerThePublic
• Share of search: activation rate versus the incumbents - BuzzSumo
• Community listening report: SaaS retention benchmarks - Exploding Topics
• Free product analytics: the queries with commercial intent - GummySearch
• Search demand for GA4 alternatives: volume, intent and the pages that rank - Brandwatch
• What people actually ask about churn prediction for small teams - Meltwater
• Keyword gap: cohort analysis tutorials and the long tail around it - Talkwalker
• The words founders use for the north star metric - Mention
• Share of search: no-code analytics versus the incumbents - CXL
• Community listening report: analytics for indie hackers - Nielsen Norman Group
• A product metrics dashboard: the queries with commercial intent - Baymard Institute
• Search demand for time to value: volume, intent and the pages that rank - Content Marketing Institute
• What people actually ask about activation rate - Orbit Media
• Keyword gap: SaaS retention benchmarks and the long tail around it - Animalz
• The words founders use for free product analytics - Foundation
• Share of search: GA4 alternatives versus the incumbents - Demand Curve
• Community listening report: churn prediction for small teams - Growth.Design
• Cohort analysis tutorials: the queries with commercial intent - Julian Shapiro
• Search demand for the north star metric: volume, intent and the pages that rank - Marketing Examples
• What people actually ask about no-code analytics - Lenny's Newsletter
• Keyword gap: analytics for indie hackers and the long tail around it - Reforge
• The words founders use for a product metrics dashboard - Neil Patel
• What performs: build-in-public numbers posts in B2B SaaS feeds - Buffer
• Benchmarks for teardown threads on LinkedIn and X - Hootsuite
• We tested screenshot-led posts for 90 days - Sprout Social
• Why founder question posts outperform polished brand posts - Later
• The anatomy of before-and-after metric stories that convert - Social Media Examiner
• Posting cadence and short educational carousels: what the data says - Social Media Today
• Creator report 2026: customer-story posts - LinkedIn
• What performs: contrarian one-liners in B2B SaaS feeds - LinkedIn Business
• Benchmarks for weekly progress updates on LinkedIn and X - X
• We tested one-chart explainers for 90 days - TikTok
• Why ten-minute setup demos outperform polished brand posts - Instagram
• The anatomy of build-in-public numbers posts that convert - YouTube
• Posting cadence and teardown threads: what the data says - r/marketing
• Creator report 2026: screenshot-led posts - r/GrowthHacking
• What performs: founder question posts in B2B SaaS feeds - beehiiv
• Benchmarks for before-and-after metric stories on LinkedIn and X - Kit
• We tested short educational carousels for 90 days - Mailchimp
• Why customer-story posts outperform polished brand posts - MailerLite
• The anatomy of contrarian one-liners that convert - Ghost
• Posting cadence and weekly progress updates: what the data says - WordPress
• Creator report 2026: one-chart explainers - Webflow
• What performs: ten-minute setup demos in B2B SaaS feeds - Typefully
• Benchmarks for build-in-public numbers posts on LinkedIn and X - Hypefury
• We tested teardown threads for 90 days - Canva
• Why screenshot-led posts outperform polished brand posts - Figma
• The anatomy of founder question posts that convert - Loom
• Posting cadence and before-and-after metric stories: what the data says - Descript
• Creator report 2026: short educational carousels - Riverside
• What performs: customer-story posts in B2B SaaS feeds - Notion
• Benchmarks for contrarian one-liners on LinkedIn and X - HubSpot
• We tested weekly progress updates for 90 days - HubSpot Blog
• Why one-chart explainers outperform polished brand posts - Intercom
• The anatomy of ten-minute setup demos that convert - Customer.io
• Posting cadence and build-in-public numbers posts: what the data says - Klaviyo
• Integration guide: Stripe revenue beside product usage - Stripe
• How small teams wire up event capture from a single snippet - Paddle
• From zero to activation events without a warehouse in an afternoon - Lemon Squeezy
• The cost of server-side tracking at small scale - Chargebee
• Engineering notes: retention cohorts on Postgres - Recurly
• A metrics API for small products: harder than it looks - Baremetrics
• Reference architecture for usage-based billing signals - ChartMogul
• Integration guide: daily metric digests - ProfitWell
• How small teams wire up alerting on a churn signal - RevenueCat
• From zero to self-hosted analytics in an afternoon - Vercel
• The cost of privacy-first identifiers at small scale - Netlify
• Engineering notes: Stripe revenue beside product usage - Render
• Event capture from a single snippet: harder than it looks - Fly.io
• Reference architecture for activation events without a warehouse - Railway
• Integration guide: server-side tracking - Heroku
• How small teams wire up retention cohorts on Postgres - Supabase
• From zero to a metrics API for small products in an afternoon - PlanetScale
• The cost of usage-based billing signals at small scale - Neon
• Engineering notes: daily metric digests - Timescale
• Alerting on a churn signal: harder than it looks - ClickHouse
• Reference architecture for self-hosted analytics - Tinybird
• Integration guide: privacy-first identifiers - DuckDB
• How small teams wire up Stripe revenue beside product usage - Snowflake
• From zero to event capture from a single snippet in an afternoon - Databricks
• The cost of activation events without a warehouse at small scale - dbt Labs
• Engineering notes: server-side tracking - Fivetran
• Retention cohorts on Postgres: harder than it looks - Airbyte
• Reference architecture for a metrics API for small products - Sentry
• Integration guide: usage-based billing signals - Datadog
• How small teams wire up daily metric digests - Grafana Labs
• From zero to alerting on a churn signal in an afternoon - Prometheus
• The cost of self-hosted analytics at small scale - New Relic
• Engineering notes: privacy-first identifiers - Honeycomb
• Stripe revenue beside product usage: harder than it looks - Elastic
• Reference architecture for event capture from a single snippet - Splunk
• Integration guide: activation events without a warehouse - Zapier
• How small teams wire up server-side tracking - Make
• From zero to retention cohorts on Postgres in an afternoon - n8n
• The cost of a metrics API for small products at small scale - Retool
• Engineering notes: usage-based billing signals - Airtable
• Daily metric digests: harder than it looks - Linear
• Reference architecture for alerting on a churn signal - Basecamp
• Integration guide: self-hosted analytics - 37signals
• How small teams wire up privacy-first identifiers - Atlassian
• From zero to Stripe revenue beside product usage in an afternoon - AWS
• The cost of event capture from a single snippet at small scale - Google Cloud
• Engineering notes: activation events without a warehouse - Microsoft Azure
• This week in indie SaaS analytics - TLDR
• Changelog: free-tier limits - Hacker News (new)
• Funding and moves: activation tooling - Techmeme
• Thread of the week: privacy-first measurement - The Verge
• This week in founder metrics talk - Ars Technica
• Changelog: indie SaaS analytics - ZDNET
• Funding and moves: free-tier limits - The Register
• Thread of the week: activation tooling - The New Stack
• This week in privacy-first measurement - InfoQ
• Changelog: founder metrics talk - The Keyword
• Funding and moves: indie SaaS analytics - Smashing Magazine
• Thread of the week: free-tier limits - CSS-Tricks
• This week in activation tooling - web.dev
• Changelog: privacy-first measurement - r/BusinessIntelligence

Available reports can inform your content. See which information is used.